The Question of Ice Management and Some Associated Realities
Bibliographic record
Abstract
Abstract Over the past few years, questions surrounding the ice management topic area have become of higher priority for many oil companies who are interested in the Arctic offshore. A key impetus stems from the fact that many of the new Arctic offshore areas of interest lie in moderate to deeper waters, where floating drilling and production operations will be required. In keeping with this "priority theme", an ice management working group has recently been formed under the auspices of the current ISO/TC67/SC8 initiative. The objective is to build upon the foundation of Ice Management Standards included in the Arctic Offshore Structures – International Standard ISO/DIS 19906, to include several identified subject areas and develop a philosophy and logic, covering all potential ice management scenarios, leading to effective, efficient and safe ice management operations. The work will benefit from the tremendous experience base with real-life ice management activities in the Canadian Beaufort Sea, on Canada's East Coast, offshore Sakhalin Island, in the Caspian Sea and off West Greenland in recent years.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".